The purpose of our thesis is to examine the trajectory of the artificial intelligence industry by using AI to research itself. We wished to examine the future of AI in business. This is a difficult question to answer because AI is always changing and there are many conflicting opinions. We felt the best approach to understanding the AI industry was to research Nvidia because its chips are central to the training and development of every major AI model today. They are also an investor in various AI software. Therefore, the AIs will be analyzing the same topic that is directly related to all their futures yet far removed enough that they answer without blatant bias. 

We plan to use four relevant large language models: OpenAI’s ChatGPT, Anthropic’s Claude, Google’s Gemini, and xAI’s Grok. We will ask them all the same research question: can Nvidia maintain its position atop the AI chip industry? From there, we will have a guided discussion that leads the AI into answering the question, while taking note of their problem solving and research tendencies.

We suspect that all of the selected Large Language Models will have a cautious, but positive outlook on Nvidia’s future, evidenced primarily by their selection of sources.

Artificial Intelligence is already making strides in changing research techniques. Especially by college students, who have been the quickest to embrace AI. In researching this, we want to see what biases these technologies create in research and gain a better understanding of the AI industry.